Bile proteome reveals biliary regeneration during normothermic preservation of human donor livers.
Adam M ThorneJustina Clarinda WoltersBianca LascarisSilke B BodewesVeerle A LantingaOtto B van LeeuwenIris E M de JongKirill UstyantsevEugene BerezikovTon LismanFolkert KuipersRobert J PorteVincent E De MeijerPublished in: Nature communications (2023)
Normothermic machine perfusion (NMP) after static cold storage is increasingly used for preservation and assessment of human donor livers prior to transplantation. Biliary viability assessment during NMP reduces the risk of post-transplant biliary complications. However, understanding of molecular changes in the biliary system during NMP remains incomplete. We performed an in-depth, unbiased proteomics analysis of bile collected during sequential hypothermic machine perfusion, rewarming and NMP of 55 human donor livers. Longitudinal analysis during NMP reveals proteins reflective of cellular damage at early stages, followed by upregulation of secretory and immune response processes. Livers with bile chemistry acceptable for transplantation reveal protein patterns implicated in regenerative processes, including cellular proliferation, compared to livers with inadequate bile chemistry. These findings are reinforced by detection of regenerative gene transcripts in liver tissue before machine perfusion. Our comprehensive bile proteomics and liver transcriptomics data sets provide the potential to further evaluate molecular mechanisms during NMP and refine viability assessment criteria.
Keyphrases
- endothelial cells
- stem cells
- immune response
- cell therapy
- induced pluripotent stem cells
- mesenchymal stem cells
- pluripotent stem cells
- deep learning
- mass spectrometry
- contrast enhanced
- label free
- oxidative stress
- genome wide
- magnetic resonance imaging
- cell proliferation
- signaling pathway
- computed tomography
- cross sectional
- risk assessment
- poor prognosis
- binding protein
- transcription factor
- dna methylation
- tissue engineering
- big data
- drug discovery
- artificial intelligence
- human health